Generative AI User Experience: Developing Human–AI Epistemic Partnership
The rapid integration of Generative AI (GenAI) into the educational landscape has prompted a re-evaluation of user experience (UX) frameworks. Traditional constructs such as usefulness, ease of use, and engagement have dominated discussions surrounding the adoption of GenAI; however, these measures fall short in acknowledging the deeper implications of AI interactions. In particular, systems like ChatGPT play a more complex role than mere support for learning tasks; they actively engage in the construction of knowledge itself.
The limitations of existing theories in explaining the multifaceted nature of GenAI interactions have led researchers to propose a new framework: the Human–AI Epistemic Partnership Theory (HAEPT). This theory conceptualizes the user experience with GenAI as a dynamic form of epistemic partnership, wherein three interlocking contracts—epistemic, agency, and accountability—are negotiated continuously. This article seeks to outline the significance of HAEPT in understanding the GenAI user experience and the inherent tensions that characterize these interactions.
Understanding the Human–AI Epistemic Partnership Theory (HAEPT)
The HAEPT framework posits that user interactions with GenAI are not static; rather, they evolve through calibration cycles that reflect changing perceptions and expectations. This framework provides a comprehensive lens through which to examine various phenomena associated with GenAI, such as:
- Trust: Users often find themselves navigating the balance between trust and skepticism, leading to complex relational dynamics with AI systems.
- Over-reliance: As users engage more deeply with GenAI, questions arise regarding dependency and the potential erosion of critical thinking skills.
- Academic Integrity: The collaborative nature of GenAI usage poses challenges to traditional notions of authorship and originality.
- Teacher Caution: Educators are often wary of GenAI’s influence on learning, leading to a hesitance in fully integrating these tools into pedagogical practices.
- Relational Interaction: The interactions between users and AI are characterized by negotiation, where users adjust their expectations and behaviors based on past experiences.
Reinterpreting User Experiences Through HAEPT
Rather than viewing issues such as trust and academic integrity as isolated challenges, HAEPT encourages a reinterpretation of these concerns as tensions within the interlocking contracts of epistemic, agency, and accountability. This perspective allows for a more nuanced understanding of user experiences, revealing that users adjust their relationship with GenAI over time, adapting to its capabilities and limitations.
To illustrate the practical application of HAEPT, researchers analyzed collaborative learning scenarios involving AI speakers and AI-facilitated scientific argumentation. These case studies highlighted different contract configurations, demonstrating how users navigate the complexities of partnership modes in their interactions with GenAI.
Conclusion
As Generative AI continues to reshape educational practices, the Human–AI Epistemic Partnership Theory offers a valuable framework for understanding the evolving dynamics of user experiences. By recognizing the interplay of epistemic, agency, and accountability contracts, educators and technologists can better address the challenges and opportunities presented by GenAI, ultimately enriching the learning environment for all stakeholders involved.